In this work, we proposed a hybrid frequency domain/image domain CS MR reconstruction method that leverages the information of the iDFT mathematical formulation, essentially reducing the number of parameters of our model by orders of magnitude (for a \(256\times 256\)  image, the Hybrid model required \(10^3\times \)  fewer coefficients compared to [1]}). Our model method was the second best in the quantitative comparison and it was the only one that did not fail in the volumetric analysis processing pipeline. Also, our Hybrid model produced the most visually pleasing images (Figure REF ).
